Michael Flor

83 total papers · 1.1k total citations
49 papers, 683 citations indexed

About

Michael Flor is a scholar working on Artificial Intelligence, Developmental and Educational Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Michael Flor has authored 49 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 14 papers in Developmental and Educational Psychology and 8 papers in Experimental and Cognitive Psychology. Recurrent topics in Michael Flor's work include Natural Language Processing Techniques (26 papers), Topic Modeling (22 papers) and Text Readability and Simplification (18 papers). Michael Flor is often cited by papers focused on Natural Language Processing Techniques (26 papers), Topic Modeling (22 papers) and Text Readability and Simplification (18 papers). Michael Flor collaborates with scholars based in United States, United Kingdom and Norway. Michael Flor's co-authors include Beata Beigman Klebanov, Kathleen M. Sheehan, Irene Kostin, Chee Wee Leong, Diane Napolitano, Jiangang Hao, Brian Riordan, Lei Liu, Michael Heilman and Ben Leong and has published in prestigious journals such as Educational Researcher, Journal of Computer Assisted Learning and The Elementary School Journal.

In The Last Decade

Michael Flor

46 papers receiving 624 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Michael Flor 527 196 176 90 63 49 683
Erin Shaw 449 0.9× 230 1.2× 113 0.6× 116 1.3× 115 1.8× 35 774
Kirsten R. Butcher 108 0.2× 265 1.4× 265 1.5× 204 2.3× 59 0.9× 37 596
José A. León 177 0.3× 196 1.0× 91 0.5× 203 2.3× 83 1.3× 67 580
Chee Wee Leong 410 0.8× 54 0.3× 265 1.5× 25 0.3× 50 0.8× 46 678
Hsin‐Chin Chen 84 0.2× 204 1.0× 96 0.5× 130 1.4× 92 1.5× 37 608
Philippe C. Duchastel 133 0.3× 299 1.5× 119 0.7× 273 3.0× 43 0.7× 51 605
Bruce M. McLaren 325 0.6× 358 1.8× 65 0.4× 180 2.0× 86 1.4× 25 687
Agneta Gulz 243 0.5× 332 1.7× 111 0.6× 173 1.9× 48 0.8× 49 659
Magnus Haake 157 0.3× 286 1.5× 125 0.7× 119 1.3× 32 0.5× 44 625
Emily Prud’hommeaux 447 0.8× 139 0.7× 51 0.3× 37 0.4× 165 2.6× 55 779

Countries citing papers authored by Michael Flor

Since Specialization
Citations

This map shows the geographic impact of Michael Flor's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael Flor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Flor more than expected).

Fields of papers citing papers by Michael Flor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Flor. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael Flor. The network helps show where Michael Flor may publish in the future.

Co-authorship network of co-authors of Michael Flor

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Flor. A scholar is included among the top collaborators of Michael Flor based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Flor. Michael Flor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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